A Comprehensive Approach to Evaluating the Effective Factors in Implementing a Circular Supply Chain by A Hybrid MCDM Method

Document Type : Research Paper

Authors

1 Department of Industrial Engineering and Future Studies, Faculty of Engineering, University of Isfahan, Isfahan, Iran

2 Department of Industrial Engineering and Future Studies, Faculty of Engineering, University of Isfahan 81746-73441, Iran

3 Department of Business Administration, University of Science and Culture, Tehran, Iran

4 Department of Industrial Engineering, Arak University, Arak, Iran

5 School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

Abstract

The circular economy is one of the most important issues in the optimal use of resources all around the world. The combination of circular economy and supply chain creates a new concept called circular supply chain, which seeks to increase the efficiency of the supply chain by making the best use of resources. In this research, the main purpose is to apply a hybrid Multi-Criteria Decision-Making (MCDM) method to evaluate the effective factors in implementing the circular supply chain. First, the effective factors in the field of the circular supply chain are identified, and in the next step, the weight of the factors is obtained by implementing the Analytic Hierarchy Process (AHP) method. Next, the intensity of the effect of each factor is calculated. Moreover, the correlation between the factors affecting the circular supply chain and the effectiveness of the factors is analyzed using the Decision Making Trial and Evaluation Laboratory (DEMATEL) method. Finally, using the Simple Additive Weighting (SAW) method, the most important factors in the implementation of the circular supply chain are identified. The core results of this research show that the quality of final products is the most important factor in implementing a circular supply chain. Moreover, applying the circular economy approach leads to the zero-waste goal, which can increase the efficiency of supply chains.

Keywords


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